{"repo":"scanadi/mcp-ai-memory","free":true,"listed":false,"github":"https://github.com/scanadi/mcp-ai-memory","clone":"git clone https://github.com/scanadi/mcp-ai-memory.git","description":"A production-ready Model Context Protocol (MCP) server for semantic memory management","language":"TypeScript","stars":48,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"MCP AI Memory A production-ready Model Context Protocol (MCP) server for semantic memory management that enables AI agents to store, retrieve, and manage contextual knowledge across sessions. 📖 System Prompt Available : See SYSTEM PROMPT.md for a comprehensive guide on how to instruct AI models to use this memory system effectively. This prompt helps models understand when and how to use memory tools, especially for proactive memory retrieval. Features Core Capabilities - TypeScript - Full type safety with strict mode - PostgreSQL + pgvector - Vector similarity search with HNSW indexing - Kysely ORM - Type-safe SQL queries - Local Embeddings - Uses Transformers.js (no API calls) - Intelligent Caching - Redis + in-memory fallback for blazing fast performance - Multi-Agent Support - User context isolation - Token Efficient - Embeddings removed from responses Advanced Memory Management - Graph Relationships - Rich relationship types (references, contradicts, supports, extends, causes, precedes, etc.) - Graph Traversal - BFS/DFS algorithms with depth limits and filtering - Memory Decay - Automatic lifecycle management with exponential decay - Memory States - Active, dormant, archived, and expired states - Preservation - Protect important memories from decay - Soft Deletes - Data recovery with deleted at timestamps - Clustering - Automatic memory consolidation - Compression - Automatic compression of archived memories Prerequisites - Node.js 18+ or Bun - PostgreSQL with pgvector ","default_branch":null,"files":null,"tree":[],"storefront":"/r/scanadi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/scanadi/mcp-ai-memory/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}